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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Uses of Technology in Upper Secondary Mathematics Education
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Foundations of Machine Learning
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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800 Solved Problems In Vector Mechanics for Engineers, Vol. I
First published in 1989...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Teaching Multiplication with Lesson Study
Japanese and Ibero-American Theories for Mathematics Education...
View Book →Phase Transitions in Semidefinite Relaxations
Statistical inference problems arising within signal processing, data mining, and machine learning naturally give rise to hard combinatorial optimization problems. These problems become intractable wh...
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700 Solved Problems In Vector Mechanics for Engineers Volume II
First published in 1991...
View Book →Sharpened Error Bounds for Random Sampling Based $\ell_2$ Regression
Given a data matrix $X \in R^{n\times d}$ and a response vector $y \in R^{n}$, suppose $n>d$, it costs $O(n d^2)$ time and $O(n d)$ space to solve the least squares regression (LSR) problem. When $n$ ...
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Variant Construction from Theoretical Foundation to Applications
...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Schaum's outline of theory and problems of vector analysis
First published in 1959...
View Book →Invariant Clusters for Hybrid Systems
In this paper, we propose an approach to automatically compute invariant clusters for semialgebraic hybrid systems. An invariant cluster for an ordinary differential equation (ODE) is a multivariate p...
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Algorithms for Decision Making
...
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Understanding Vector Calculus
First published in 2020...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Understanding Machine Learning
From Theory to Algorithms...
View Book →On compact hypersurfaces in a Riemannian vector bundle with prescribed vertical Gaussian curvature
Let M be a compact Riemannian manifold and E a Riemannian vector bundle on M. We look for hypersurfaces of E with a prescribed vertical Gaussian curvature. In trying to solve this problem fibre-wise, ...
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An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms
In the evolutionary computation research community, the performance of most evolutionary algorithms (EAs) depends strongly on their implemented coordinate system. However, the commonly used coordinate...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Signal Computing
Digital Signals in the Software Domain...
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Programming for Computations - MATLAB/Octave
A Gentle Introduction to Numerical Simulations with MATLAB/Octave...
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Java Web Scraping Handbook
Learn advanced Web Scraping techniques...
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Tunneling of Massive Vector Particles From Rotating Charged Black Strings
We study the quantum tunneling of charged massive vector bosons from a charged static and a rotating black string. We apply the standard methods, first we use the WKB approximation and the Hamilton-Ja...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
View Book →Complexity of LP in Terms of the Face Lattice
Let $X$ be a finite set in $Z^d$. We consider the problem of optimizing linear function $f(x) = c^T x$ on $X$, where $c\in Z^d$ is an input vector. We call it a problem $X$. A problem $X$ is related w...
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Teaching and Learning About Whole Numbers in Primary School
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Biodiversity and Health in the Face of Climate Change
...
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Interdisciplinary Mathematics Education
A State of the Art...
View Book →Higher Mathematics Part 4 By R. M. Zhevnyak And A. A. Karpuk
Высшая математика — Часть 4. Р.М. Жевняк, А.А. Карпук 1987 This book is the fourth part of the textbook Higher Mathematics. It covers multiple integrals, line an...
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Street-Fighting Mathematics
The Art of Educated Guessing and Opportunistic Problem Solving...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Reliable Iterative Condition-Number Estimation
We describe a reliable Krylov-subspace method for estimatinge the spectral condition number of a matrix A. The main difficulty in estimating the condition number is the estimation of the smallest sing...
View Book →Multipreconditioned GMRES for Shifted Systems
An implementation of GMRES with multiple preconditioners (MPGMRES) is proposed for solving shifted linear systems with shift-and-invert preconditioners. With this type of preconditioner, the Krylov su...
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Bayesian Methods in the Search for MH370
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Convex Regularization for High-Dimensional Multi-Response Tensor Regression
In this paper we present a general convex optimization approach for solving high-dimensional multiple response tensor regression problems under low-dimensional structural assumptions. We consider usin...
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Solving linear systems on vector and shared memory computers
First published in 1991...
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Satellite Earth Observations and Their Impact on Society and Policy
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Three-dimensional unsteady Euler euqation solutions using flux vector splitting
First published in 1983...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
View Book →700 solved problems in vector mechanics for engineers
First published in 1991...
View Book →Calculus 2 Textbook with Problems and Solved Problems. Best for Calc 2 Course. Integration Technique
First published in 2022...
View Book →Graph-Based Inter-Subject Pattern Analysis of fMRI Data.
This article is from PLoS ONE , volume 9 . Abstract In brain imaging, solving learning problems in multi-subjects settings is difficult because of the differences that exist across individuals. Here w...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Switching dynamics of a magnetostrictive single-domain nanomagnet subjected to stress
The temporal evolution of the magnetization vector of a single-domain magnetostrictive nanomagnet, subjected to in-plane stress, is studied by solving the Landau-Lifshitz-Gilbert equation. The stress ...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Linear Selection Indices in Modern Plant Breeding
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Vector Algebra (Solving Problems in Maths. S)
First published in 1968...
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Problem Solving in Mathematics Education
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Understanding Society and Natural Resources
Forging New Strands of Integration Across the Social Sciences...
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Solving the Powertrain Puzzle
10th Schaeffler Symposium April 3/4, 2014...
View Book →Low-Rank Inducing Norms with Optimality Interpretations
Optimization problems with rank constraints appear in many diverse fields such as control, machine learning and image analysis. Since the rank constraint is non-convex, these problems are often approx...
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Problem Solving with Algorithms and Data Structures
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A staggered semi-implicit discontinuous Galerkin method for the two dimensional incompressible Navie
In this paper we propose a new spatially high order accurate semi-implicit discontinuous Galerkin (DG) method for the solution of the two dimensional incompressible Navier-Stokes equations on staggere...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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On solving symmetric systems of linear equations in an unnormalized Krylov subspace framework
In an unnormalized Krylov subspace framework for solving symmetric systems of linear equations, the orthogonal vectors that are generated by a Lanczos process are not necessarily on the form of gradie...
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800 solved problems in vector mechanics for engineers
First published in 1900...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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Engineering Mechanics: Statics
...
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Tools and Algorithms for the Construction and Analysis of Systems
25th International Conference, TACAS 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6–11, 2019, Proceedings, Part ...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Vectors Solved Eight Different Ways - Simple + Easy
First published in 2015...
View Book →Negative dynamic conductivity of a current driven array of graphene nanoribbons
We consider a periodic array of graphene nanoribbons under the action of a strong dc electric field $E_0$ and an external electromagnetic excitation with the frequency $\omega$ and the lateral wave ve...
View Book →NASA Technical Reports Server (NTRS) 19930004221: Efficient solution of parabolic equations by Krylo
Numerical techniques for solving parabolic equations by the method of lines is addressed. The main motivation for the proposed approach is the possibility of exploiting a high degree of parallelism in...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Forward-Douglas-Rachford splitting and forward-partial inverse method for solving monotone inclusion
We provide two weakly convergent algorithms for finding a zero of the sum of a maximally monotone operator, a cocoercive operator, and the normal cone to a closed vector subspace of a real Hilbert spa...
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Problem solving, abstraction, and design using C++
First published in 1993...
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Automated generation and symbolic manipulation of tensor product finite elements
We describe and implement a symbolic algebra for scalar and vector-valued finite elements, enabling the computer generation of elements with tensor product structure on quadrilateral, hexahedral and t...
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Principles and Practice of Case-based Clinical Reasoning Education
A Method for Preclinical Students...
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Solving problems in vector algebra
First published in 2010...
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